TY - GEN
T1 - A resource allocation algorithm for maximizing packet transmissions in downlink LTE cellular systems
AU - Huang, Jeng Ji
AU - Lin, Wei Keng
AU - Ko, Hung Hsiang
PY - 2011
Y1 - 2011
N2 - In this paper, an algorithm is proposed for resource allocation in downlink Long Term Evolution (LTE). In the proposed algorithm, similar to several previous works, multiuser diversity is exploited to increase channel utilization; in addition, buffer status is explicitly taken into account such that a maximal number of downlink packets in the buffer can be transmitted. Hence, the proposed algorithm contains two phases. In the first phase, downlink resource blocks are allocated based on, e.g., channel information; then, in the second phase the result is feeded into a modified bipartite matching algorithm in which resource blocks can be reallocated according to buffer status of downlink users. It is shown from numerical results that the proposed algorithm can significantly improve downlink data throughput, compared to the previous work that attempts only to maximize channel sum rate.
AB - In this paper, an algorithm is proposed for resource allocation in downlink Long Term Evolution (LTE). In the proposed algorithm, similar to several previous works, multiuser diversity is exploited to increase channel utilization; in addition, buffer status is explicitly taken into account such that a maximal number of downlink packets in the buffer can be transmitted. Hence, the proposed algorithm contains two phases. In the first phase, downlink resource blocks are allocated based on, e.g., channel information; then, in the second phase the result is feeded into a modified bipartite matching algorithm in which resource blocks can be reallocated according to buffer status of downlink users. It is shown from numerical results that the proposed algorithm can significantly improve downlink data throughput, compared to the previous work that attempts only to maximize channel sum rate.
KW - bipartite matching algorithm
KW - Long Term Evolution (LTE)
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=84863038064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863038064&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2011.6129143
DO - 10.1109/TENCON.2011.6129143
M3 - Conference contribution
AN - SCOPUS:84863038064
SN - 9781457702556
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 445
EP - 449
BT - TENCON 2011 - 2011 IEEE Region 10 Conference
T2 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Y2 - 21 November 2011 through 24 November 2011
ER -